Development of New Genetic Algorithm Software for Blow Mould Process

This paper is concerned on the optimization of the surface roughness when milling mould aluminium alloys (AA6061-T6) with carbide coated inserts with newly develop Genetic Algorithm (GA) software. Optimization of the milling is very useful to reduce cost and time for machining mould. The appro...

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Main Authors:	K., Kadirgama, M. M., Noor, R., Daud, M. R. M., Rejab
Format:	Conference or Workshop Item
Language:	English
Published:	2008
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/1274/ http://umpir.ump.edu.my/id/eprint/1274/1/Development_of_New_Genetic_Algorithm_Software_for_Blow_Mould_Process.pdf

id	ump-1274
recordtype	eprints
spelling	ump-12742018-01-31T02:02:20Z http://umpir.ump.edu.my/id/eprint/1274/ Development of New Genetic Algorithm Software for Blow Mould Process K., Kadirgama M. M., Noor R., Daud M. R. M., Rejab TJ Mechanical engineering and machinery This paper is concerned on the optimization of the surface roughness when milling mould aluminium alloys (AA6061-T6) with carbide coated inserts with newly develop Genetic Algorithm (GA) software. Optimization of the milling is very useful to reduce cost and time for machining mould. The approach is based on newly development of Genetic Algorithm software. In this work, the objectives were to optimized parameters with newly develop software and compare with statistical software. The optimized value has been used to develop a blow mould. Results from the newly develop GA software is closer with the statistical software. This software directly reduces in term of machining cost. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1274/1/Development_of_New_Genetic_Algorithm_Software_for_Blow_Mould_Process.pdf K., Kadirgama and M. M., Noor and R., Daud and M. R. M., Rejab (2008) Development of New Genetic Algorithm Software for Blow Mould Process. In: Malaysian Science and Technology Congress, MSTC08, 16-17 Dec 2008 , KLCC, Malaysia. . (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery K., Kadirgama M. M., Noor R., Daud M. R. M., Rejab Development of New Genetic Algorithm Software for Blow Mould Process
description	This paper is concerned on the optimization of the surface roughness when milling mould aluminium alloys (AA6061-T6) with carbide coated inserts with newly develop Genetic Algorithm (GA) software. Optimization of the milling is very useful to reduce cost and time for machining mould. The approach is based on newly development of Genetic Algorithm software. In this work, the objectives were to optimized parameters with newly develop software and compare with statistical software. The optimized value has been used to develop a blow mould. Results from the newly develop GA software is closer with the statistical software. This software directly reduces in term of machining cost.
format	Conference or Workshop Item
author	K., Kadirgama M. M., Noor R., Daud M. R. M., Rejab
author_facet	K., Kadirgama M. M., Noor R., Daud M. R. M., Rejab
author_sort	K., Kadirgama
title	Development of New Genetic Algorithm Software for Blow Mould Process
title_short	Development of New Genetic Algorithm Software for Blow Mould Process
title_full	Development of New Genetic Algorithm Software for Blow Mould Process
title_fullStr	Development of New Genetic Algorithm Software for Blow Mould Process
title_full_unstemmed	Development of New Genetic Algorithm Software for Blow Mould Process
title_sort	development of new genetic algorithm software for blow mould process
publishDate	2008
url	http://umpir.ump.edu.my/id/eprint/1274/ http://umpir.ump.edu.my/id/eprint/1274/1/Development_of_New_Genetic_Algorithm_Software_for_Blow_Mould_Process.pdf
first_indexed	2023-09-18T21:54:16Z
last_indexed	2023-09-18T21:54:16Z
_version_	1777413974304751616

Development of New Genetic Algorithm Software for Blow Mould Process

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